Simultaneous Tobit Models

Simultaneous Tobit Models is a statistical modeling framework belonging to the class of simultaneous equations models, distinguished by its incorporation of censored dependent variables in a system of interdependent equations estimated jointly to account for both simultaneity and truncation biases.

21

Publications

3.4K

Citations

41

Authors

27

Institutions

Publications per year

2017–2026

3

Authors

41

  1. RJ
    Richard J. Smith

    Washington University in St. Louis, United States

    2 publications · 1.2K citations

    2

    h-index

  2. TA
    Takeshi Amemiya

    Stanford University, United States

    2 publications · 379 citations

    2

    h-index

  3. RB
    Richard Blundell

    University College London, United Kingdom

    2 publications · 1.2K citations

    2

    h-index

  4. JM
    Jignesh M. Joshi

    University of Petroleum and Energy Studies, India

    1 publications · 41 citations

    1

    h-index

  5. HJ
    Heng Jiang

    La Trobe University, Australia

    1 publications · 42 citations

    1

    h-index

1–5 of 41

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 32 citations

    2

    h-index

  2. American Sociological Review

    ASR · 1 publications · 540 citations

    1

    h-index

  3. International Organization

    IO · 1 publications · 51 citations

    1

    h-index

  4. Information Technology Journal

    1 publications · 21 citations

    1

    h-index

  5. Sustainability

    1 publications · 23 citations

    1

    h-index

1–5